Expressivity of Shallow and Deep Neural Networks for Polynomial Approximation. - Itai Shapira (CoRR, 2023)

Learning Decision-Making Functions Given Cardinal and Ordinal Consensus Data. - Kanad Pardeshi; Itai Shapira; Ariel D. Procaccia; Aarti Singh (AAAI Spring Symposia, 2024)

Bias Detection via Signaling. - Yiling Chen 001; Tao Lin 013; Ariel D. Procaccia; Aaditya Ramdas; Itai Shapira (NeurIPS, 2024)

Axioms for AI Alignment from Human Feedback. - Luise Ge; Daniel Halpern 002; Evi Micha; Ariel D. Procaccia; Itai Shapira; Yevgeniy Vorobeychik; Junlin Wu 001 (NeurIPS, 2024)

Learning Social Welfare Functions. - Kanad Pardeshi; Itai Shapira; Ariel D. Procaccia; Aarti Singh (NeurIPS, 2024)

Generative Social Choice. - Sara Fish; Paul Gölz; David C. Parkes; Ariel D. Procaccia; Gili Rusak; Itai Shapira; Manuel Wüthrich (EC, 2024)

Optimal Engagement-Diversity Tradeoffs in Social Media. - Fabian Baumann; Daniel Halpern 002; Ariel D. Procaccia; Iyad Rahwan; Itai Shapira; Manuel Wüthrich (WWW, 2024)

SOAP: Improving and Stabilizing Shampoo using Adam. - Nikhil Vyas 001; Depen Morwani; Rosie Zhao; Itai Shapira; David Brandfonbrener; Lucas Janson; Sham M. Kakade (CoRR, 2024)

SOAP: Improving and Stabilizing Shampoo using Adam for Language Modeling. - Nikhil Vyas 001; Depen Morwani; Rosie Zhao; Itai Shapira; David Brandfonbrener; Lucas Janson; Sham M. Kakade (ICLR, 2025)

A New Perspective on Shampoo's Preconditioner. - Depen Morwani; Itai Shapira; Nikhil Vyas 001; Eran Malach; Sham M. Kakade; Lucas Janson (ICLR, 2025)

Pairwise Calibrated Rewards for Pluralistic Alignment. - Daniel Halpern 002; Evi Micha; Ariel D. Procaccia; Itai Shapira (CoRR, 2025)